Discrete Optimization Algorithms

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1.

Discrete Optimization Algorithms ─ With Pascal Programs

出版日：2006/12/15 作者：MacIej M. Syslo; Narsingh Deo; Janusz S. Kowalik 出版社：Dover Pubns 裝訂：平裝

Upper-level undergraduates and graduate students will benefit from this treatment of discrete optimization algorithms, which covers linear and integer programming. It offers ready-to-use computer prog

優惠價： 9 1024

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90 折

2.

Algorithms for Convex Optimization

出版日：2021/07/31 作者：Nisheeth K. Vishnoi 出版社：Cambridge Univ Pr 裝訂：精裝

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

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90 折

3.

Algorithms for Convex Optimization

出版日：2021/07/31 作者：Nisheeth K. Vishnoi 出版社：Cambridge Univ Pr 裝訂：平裝

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

優惠價： 9 1781

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Optimization Algorithms on Matrix Manifolds

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4.

Optimization Algorithms on Matrix Manifolds

出版日：2007/12/03 作者：P. A. Absil; R. Mahony; R. Sepulchre 出版社：Princeton Univ Pr 裝訂：精裝

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special

優惠價： 9 4752

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Understanding Coding by Building Algorithms

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5.

Understanding Coding by Building Algorithms

出版日：2017/01/01 作者：Patricia Harris 出版社：Powerkids Pr 裝訂：平裝

This detailed guide explores the historical development of algorithms and how they are used as a way of teaching computers to work through problems. Named for Persian mathematician Muhammad ibn Musa a

優惠價： 75 555

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The Optimization Edge: Reinventing Decis

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6.

The Optimization Edge: Reinventing Decis

出版日：2011/03/16 作者：Sashihara 出版社：Mcgraw-Hill; Inc. 裝訂：平裝

Why downsize when you can OPTIMIZE?"At McDonald’s our focus has always been on providing maximum value to customers through ‘optimal’ quality and tight cost management, which is why Optimization has b

優惠價： 75 931

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7.

Nature-inspired Optimization Algorithms

出版日：2016/07/31 作者：Xin-she Yang 出版社：Elsevier Science Ltd 裝訂：平裝

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theo

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Coding Concepts for Kids: Learn to Code Without a Computer

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8.

Coding Concepts for Kids: Learn to Code Without a Computer

出版日：2020/11/10 作者：Randy Lynn 出版社：Rockridge Pr 裝訂：平裝

Coding for kids without a computer--an offline skill-building book for ages 5 to 7 Coding helps kids develop analytical thinking, problem-solving abilities, and beyond In this exciting guide to coding for kids, your child will discover the core concepts of coding through colorful games and activities--without using a computer. These fun challenges can be done right inside the book or with everyday objects to help kids practice the same skills coders use, like writing clear instructions, recognizing patterns, and working efficiently. There's even a place for your beginner to invent their own codes This coding for kids book features: Coding fundamentals--Practice algorithms, loops, conditionals, optimization, debugging, and variables with games that help kids think like a computer programmer. Meet the coder crew--Explore coding for kids with a whole cast of characters, including Al the helper, Pixel the creative expert, Lo the problem-solver, Bug the pattern-spotter, and their robot dog

優惠價： 79 330

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DATA STRUCTURES AND ALGORITHMS IN JAVA 5/E INTERNATIONAL STUDENT VERSION

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9.

DATA STRUCTURES AND ALGORITHMS IN JAVA 5/E INTERNATIONAL STUDENT VERSION

出版日：2010/03/16 作者：GOODRICH 出版社：JOHN WILEY & SONS;LTD 裝訂：平裝

Using a unique multimedia format for learning the fundamentals of data structures and algorithms, this conceptually elegant and innovative text incorporates the object-oriented design paradigm with Ja

優惠價： 9 1170

庫存：1

79 折

10.

Algorithms for Optimization

出版日：2019/03/12 作者：Mykel J. Kochenderfer; Tim A. Wheeler 出版社：Mit Pr 裝訂：精裝

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on pr

優惠價： 79 4503

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90 折

11.

Discrete Geometry and Optimization

出版日：2013/05/31 作者：Karoly Bezdek (EDT); Antoine Deza (EDT); Yinyu Ye (EDT) 出版社：Springer Verlag 裝訂：精裝

?Optimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have provided the foundations for many optimization techniques, le

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Stochastic Recursive Algorithms for Optimization—Simultaneous Perturbation Methods

90 折

12.

Stochastic Recursive Algorithms for Optimization—Simultaneous Perturbation Methods

出版日：2012/08/12 作者：S. Bhatnagar; H. L. Prasad; L.a. Prashanth 出版社：Springer Verlag 裝訂：平裝

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unif

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90 折

13.

The Design of Approximation Algorithms

出版日：2011/04/26 作者：David P. Williamson 出版社：Cambridge Univ Pr 裝訂：精裝

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses

優惠價： 9 3275

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14.

無約束最優化與非線性方程的數值方法（簡體書）

出版日：2019/12/16 作者：(美)丹尼斯 出版社：科學出版社 裝訂：精裝

This book is a standard for a complete description of the methods for unconstrained optimization and the solution ofnonlinear equations....this republication is most welcome and this volume should be

優惠價： 87 877

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Oracle E-business Suite 12 Tuning Tips & Techniques ― Manage & Optimize for World-class Effectiveness, Efficiency, and Success

75 折

15.

Oracle E-business Suite 12 Tuning Tips & Techniques ― Manage & Optimize for World-class Effectiveness, Efficiency, and Success

出版日：2013/09/11 作者：Richard Bingham 出版社：McGraw-Hill Osborne Media 裝訂：平裝

Master Oracle E-Business Suite 12 Performance Tuning and Optimization Deliver on the promise of lower TCO and achieve operational excellence by implementing a comprehensive enterprise application mana

優惠價： 75 1738

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66 折

16.

Applied Combinatorics, Sixth Edition

出版日：2012/01/09 作者：Tucker 出版社：John Wiley & Sons Inc 裝訂：精裝

The new 6th edition of Applied Combinatorics builds on the previous editions with more in depth analysis of computer systems in order to help develop proficiency in basic discrete math problem solving

優惠價： 66 7279

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Practical Mathematical Optimization ― Basic Optimization Theory and Gradient-based Algorithms

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17.

Practical Mathematical Optimization ― Basic Optimization Theory and Gradient-based Algorithms

出版日：2018/05/14 作者：Jan Snyman; Daniel Nicolas Wilke 出版社：Springer Verlag 裝訂：精裝

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to enginee

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Applications of Metaheuristic Optimization Algorithms in Civil Engineering

90 折

18.

Applications of Metaheuristic Optimization Algorithms in Civil Engineering

出版日：2016/12/16 作者：A. Kaveh 出版社：Springer Verlag 裝訂：精裝

The book presents recently developed efficient meta-heuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be us

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19.

Application of Evolutionary Algorithms for Multi-objective Optimization in Vlsi and Embedded Systems

出版日：2014/09/02 作者：M. C. Bhuvaneswari (EDT) 出版社：Springer Verlag 裝訂：精裝

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the a

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Evolutionary Optimization Algorithms: Biologocally-Inspired And Population-Based Approaches To Computer Intelligence

90 折

20.

Evolutionary Optimization Algorithms: Biologocally-Inspired And Population-Based Approaches To Computer Intelligence

出版日：2013/04/12 作者：Simon 出版社：John Wiley & Sons Inc 裝訂：平裝

This book covers the theory, history, mathematics, and applications of evolutionary optimization algorithms. Most of these algorithms are motivated by biological processes. The algorithms that are dis

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21.

Conjugate Gradient Algorithms in Nonconvex Optimization

出版日：2008/12/01 作者：Radoslaw Pytlak 出版社：Springer Verlag 裝訂：精裝

This up-to-date book is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. Large part of

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22.

Handbook on Modelling for Discrete Optimization

出版日：2006/04/01 作者：H. P. Williams (EDT); Leonidas S. Pitsoulis (EDT); H. paul Williams (EDT) 出版社：Springer Verlag 裝訂：精裝

This book aims to demonstrate and detail the pervasive nature of Discrete Optimization. The handbook couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of disc

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New Optimization Algorithms - In Physics And Computational Science

90 折

23.

New Optimization Algorithms - In Physics And Computational Science

出版日：2004/06/11 作者：Hartmann 出版社：John Wiley & Sons Inc 裝訂：精裝

Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such algorithms is steadily increasing, many new algorithms have n

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24.

Discrete Probability and Algorithms

出版日：1995/07/01 作者：David Aldous; Joel Spencer 出版社：Springer Verlag 裝訂：精裝

Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address

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25.

Artificial Communication

出版日：2022/04/05 作者：Elena Esposito 出版社：Mit Pr 裝訂：精裝

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor

優惠價： 79 839

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Algorithms To Live By : The Computer Science Of Human Decisions

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26.

Algorithms To Live By : The Computer Science Of Human Decisions

出版日：2017/04/06 作者：Christian; Brian 出版社：William Collins UK 裝訂：平裝

探討如何將電腦科學中的演算法原理應用到日常生活與人類決策中。作者結合心理學、認知科學與計算機科學，說明演算法不僅是電腦解題的工具，更是我們在面對生活難題時可借鑑的思考模型。本書涵蓋多種實用議題，透過演算法的視角來處理生活中的決策與權衡，例如：➤最佳停下時機（Optimal Stopping）：如何判斷在眾多選項中何時停止尋找並做出決定，如招聘或約會。➤探索與利用的平衡（Explore-Exploit Trade-off）：何時探索新機會，何時利用已知資源。➤排序與組織：提升查找效率的策略。➤快取管理：如何在有限記憶空間中有效保留重要資訊。➤工作排程與切換成本：如何管理多任務與優先順序。➤貝氏定理（Bayes's Rule）：結合先驗知識與新資訊做出推論。➤放寬問題限制：在無解或計算困難的情況下，尋求「夠好」的近似解。➤隨機性與資源管理：利用隨機策略在不確定環境下取得良好結果。➤網絡與遊戲理論：理解互動系統與多方利益的決策動態。書中強調，雖然演算法能為複雜問題提供指導，但現實生活中決策仍存在不確定性和失敗風險。重要的是採用合理的策略來面對時間與資源限制，並學習在不完美中作出最佳抉擇。該書還指出，人類在面對計算難題時，常能透過直覺和簡化模型達成驚人的表現。此書獲得廣泛好評，被譽為一本能讓人重新認識「演算法」不僅屬於科技領域，更是生活智慧的指導手冊。A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tas

優惠價： 79 477

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Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms

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27.

Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms

出版日：2013/11/28 作者：Amir Zjajo 出版社：Springer Verlag 裝訂：精裝

One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits.In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise

優惠價： 75 4500

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28.

Optimization for Data Analysis

出版日：2021/10/31 作者：Stephen J. Wright 出版社：Cambridge Univ Pr 裝訂：精裝

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found

優惠價： 9 2222

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Advanced Optimization for Process Systems Engineering

90 折

29.

Advanced Optimization for Process Systems Engineering

出版日：2021/04/30 作者：Ignacio E. Grossmann 出版社：Cambridge Univ Pr 裝訂：精裝

Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential

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30.

Mathematical Models and Algorithms for Power System Optimization

出版日：2019/07/01 作者：Mingtian Fan; Zuping Zhang 出版社：Academic Pr 裝訂：精裝

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of C

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31.

Combinatorial Optimization ― Theory and Algorithms

出版日：2018/03/23 作者：Bernhard Korte; Jens Vygen 出版社：Springer Verlag 裝訂：精裝

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based

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Sustainable Logistics and Transportation ― Optimization Models and Algorithms

90 折

32.

Sustainable Logistics and Transportation ― Optimization Models and Algorithms

出版日：2018/01/30 作者：Didem Cinar (EDT); Konstantinos Gakis (EDT); Panos M. Pardalos (EDT) 出版社：Springer Verlag 裝訂：精裝

Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation prob

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Discrete Problems in Nature Inspired Algorithms

90 折

33.

Discrete Problems in Nature Inspired Algorithms

出版日：2017/12/18 作者：Anupam Prof. Shukla and Ritu Tiwari 出版社：CRC Press UK 裝訂：精裝

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes th

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Advanced Optimization by Nature-Inspired Algorithms

90 折

34.

Advanced Optimization by Nature-Inspired Algorithms

出版日：2017/07/11 作者：Omid Bozorg-Haddad (EDT) 出版社：Springer-Verlag New York Inc 裝訂：精裝

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering,

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Gems of Combinatorial Optimization and Graph Algorithms

90 折

35.

Gems of Combinatorial Optimization and Graph Algorithms

出版日：2015/12/23 作者：Andreas S. Schulz (EDT); Martin Skutella (EDT); Sebastian Stiller (EDT); Dorothea Wagner (EDT) 出版社：Springer Verlag 裝訂：精裝

Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a convenient source of relevant, current topics for a gradu

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Stochastic Multi-stage Optimization ― At the Crossroads Between Discrete Time Stochastic Control and Stochastic Programming

90 折

36.

Stochastic Multi-stage Optimization ― At the Crossroads Between Discrete Time Stochastic Control and Stochastic Programming

出版日：2015/05/19 作者：Pierre Carpentier; Jean-Philippe Chancelier; Guy Cohen; Michel De Lara 出版社：Springer Verlag 裝訂：精裝

The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the

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37.

Experimental Methods for the Analysis of Optimization Algorithms

出版日：2014/10/12 作者：Thomas Bartz-beielstein (EDT); Marco Chiarandini (EDT); Lu?? Paquete (EDT); Mike Preuss (EDT) 出版社：Springer-Verlag New York Inc 裝訂：平裝

In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should fol

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38.

Optimization of Pid Controllers Using Ant Colony and Genetic Algorithms

出版日：2012/09/14 作者：Muhammet Unal; Ayca Ak; Vedat Topuz; Hasan Erdal 出版社：Springer-Verlag New York Inc 裝訂：精裝

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased,

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90 折

39.

Experimental Methods for the Analysis of Optimization Algorithms

出版日：2010/11/03 作者：Thomas Bartz-beielstein (EDT); Marco Chiarandini (EDT); Luis Paquete (EDT); Mike Preuss (EDT) 出版社：Springer-Verlag New York Inc 裝訂：精裝

In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should fol

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

40.

Approximation, Randomization, and Combinatorial Optimization.: Algorithms and Techniques

出版日：2010/09/14 作者：Maria Serna (EDT); Ronen Shaltiel (EDT); Klaus Jansen (EDT); Jose Rolim (EDT) 出版社：Springer-Verlag New York Inc 裝訂：平裝

This book constitutes the joint refereed proceedings of the 13th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2010, and the 14th International Wor

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Discrete Optimization Algorithms